Apparatus and method for performing dual signed and unsigned multiplication of packed data elements

ABSTRACT

An apparatus and method for performing dual concurrent multiplications of packed data elements. For example one embodiment of a processor comprises: a decoder to decode a first instruction to generate a decoded instruction; a first source register to store a first plurality of packed doubleword data elements; a second source register to store a second plurality of packed doubleword data elements; and execution circuitry to execute the decoded instruction, the execution circuitry comprising: multiplier circuitry to multiply a first doubleword data element from the first source register with a second doubleword data element from the second source register to generate a first quadword product and to concurrently multiply a third doubleword data element from the first source register with a fourth doubleword data element from the second source register to generate a second quadword product; and a destination register to store the first quadword product and the second quadword product as first and second packed quadword data elements.

BACKGROUND Field of the Invention

The embodiments of the invention relate generally to the field ofcomputer processors. More particularly, the embodiments relate to anapparatus and method for performing dual signed and unsignedmultiplication of packed data elements.

Description of the Related Art

An instruction set, or instruction set architecture (ISA), is the partof the computer architecture related to programming, including thenative data types, instructions, register architecture, addressingmodes, memory architecture, interrupt and exception handling, andexternal input and output (I/O). It should be noted that the term“instruction” generally refers herein to macro-instructions—that isinstructions that are provided to the processor for execution—as opposedto micro-instructions or micro-ops—that is the result of a processor'sdecoder decoding macro-instructions. The micro-instructions or micro-opscan be configured to instruct an execution unit on the processor toperform operations to implement the logic associated with themacro-instruction.

The ISA is distinguished from the microarchitecture, which is the set ofprocessor design techniques used to implement the instruction set.Processors with different microarchitectures can share a commoninstruction set. For example, Intel® Pentium 4 processors, Intel® Core™processors, and processors from Advanced Micro Devices, Inc. ofSunnyvale Calif. implement nearly identical versions of the x86instruction set (with some extensions that have been added with newerversions), but have different internal designs. For example, the sameregister architecture of the ISA may be implemented in different ways indifferent microarchitectures using well-known techniques, includingdedicated physical registers, one or more dynamically allocated physicalregisters using a register renaming mechanism (e.g., the use of aRegister Alias Table (RAT), a Reorder Buffer (ROB) and a retirementregister file). Unless otherwise specified, the phrases registerarchitecture, register file, and register are used herein to refer tothat which is visible to the software/programmer and the manner in whichinstructions specify registers. Where a distinction is required, theadjective “logical,” “architectural,” or “software visible” will be usedto indicate registers/files in the register architecture, whiledifferent adjectives will be used to designate registers in a givenmicroarchitecture (e.g., physical register, reorder buffer, retirementregister, register pool).

Multiply—accumulate is a common digital signal processing operationwhich computes the product of two numbers and adds that product to anaccumulated value. Existing single instruction multiple data (SIMD)microarchitectures implement multiply-accumulate operations by executinga sequence of instructions. For example, a multiply-accumulate may beperformed with a multiply instruction, followed by a 4-way addition, andthen an accumulation with the destination quadword data to generate two64-bit saturated results.

BRIEF DESCRIPTION OF THE DRAWINGS

A better understanding of the present invention can be obtained from thefollowing detailed description in conjunction with the followingdrawings, in which:

FIGS. 1A and 1B are block diagrams illustrating a generic vectorfriendly instruction format and instruction templates thereof accordingto embodiments of the invention;

FIGS. 2A-C are block diagrams illustrating an exemplary VEX instructionformat according to embodiments of the invention;

FIG. 3 is a block diagram of a register architecture according to oneembodiment of the invention; and

FIG. 4A is a block diagram illustrating both an exemplary in-orderfetch, decode, retire pipeline and an exemplary register renaming,out-of-order issue/execution pipeline according to embodiments of theinvention;

FIG. 4B is a block diagram illustrating both an exemplary embodiment ofan in-order fetch, decode, retire core and an exemplary registerrenaming, out-of-order issue/execution architecture core to be includedin a processor according to embodiments of the invention;

FIG. 5A is a block diagram of a single processor core, along with itsconnection to an on-die interconnect network;

FIG. 5B illustrates an expanded view of part of the processor core inFIG. 5A according to embodiments of the invention;

FIG. 6 is a block diagram of a single core processor and a multicoreprocessor with integrated memory controller and graphics according toembodiments of the invention;

FIG. 7 illustrates a block diagram of a system in accordance with oneembodiment of the present invention;

FIG. 8 illustrates a block diagram of a second system in accordance withan embodiment of the present invention;

FIG. 9 illustrates a block diagram of a third system in accordance withan embodiment of the present invention;

FIG. 10 illustrates a block diagram of a system on a chip (SoC) inaccordance with an embodiment of the present invention;

FIG. 11 illustrates a block diagram contrasting the use of a softwareinstruction converter to convert binary instructions in a sourceinstruction set to binary instructions in a target instruction setaccording to embodiments of the invention;

FIG. 12 illustrates a processor architecture on which embodiments of theinvention may be implemented;

FIG. 13 illustrates a plurality of packed data elements containing realand complex values in accordance with one embodiment;

FIGS. 14A-B illustrates embodiments of a packed data processingarchitecture;

FIG. 15 illustrates a method in accordance with one embodiment of theinvention;

FIG. 16 illustrates a method in accordance with another embodiment ofthe invention;

FIG. 17 illustrates one embodiment for right-shifting multiple dataelements based on an immediate and writing a specified portion to adestination;

FIG. 18 illustrates one embodiment for right-shifting multiple dataelements based on a source value and writing a specified portion to adestination;

FIG. 19 illustrates one embodiment for left-shifting multiple dataelements based on an immediate and writing a specified portion to adestination;

FIG. 20 illustrates one embodiment for left-shifting multiple dataelements based on a source value and writing a specified portion to adestination;

FIG. 21 illustrates a method in accordance with one embodiment of theinvention; and

FIG. 22 illustrates a method in accordance with another embodiment ofthe invention.

DETAILED DESCRIPTION

In the following description, for the purposes of explanation, numerousspecific details are set forth in order to provide a thoroughunderstanding of the embodiments of the invention described below. Itwill be apparent, however, to one skilled in the art that theembodiments of the invention may be practiced without some of thesespecific details. In other instances, well-known structures and devicesare shown in block diagram form to avoid obscuring the underlyingprinciples of the embodiments of the invention.

Exemplary Processor Architectures, Instruction Formats, and Data Types

An instruction set includes one or more instruction formats. A giveninstruction format defines various fields (number of bits, location ofbits) to specify, among other things, the operation to be performed(opcode) and the operand(s) on which that operation is to be performed.Some instruction formats are further broken down though the definitionof instruction templates (or subformats). For example, the instructiontemplates of a given instruction format may be defined to have differentsubsets of the instruction format's fields (the included fields aretypically in the same order, but at least some have different bitpositions because there are less fields included) and/or defined to havea given field interpreted differently. Thus, each instruction of an ISAis expressed using a given instruction format (and, if defined, in agiven one of the instruction templates of that instruction format) andincludes fields for specifying the operation and the operands. Forexample, an exemplary ADD instruction has a specific opcode and aninstruction format that includes an opcode field to specify that opcodeand operand fields to select operands (source1/destination and source2);and an occurrence of this ADD instruction in an instruction stream willhave specific contents in the operand fields that select specificoperands.

Embodiments of the instruction(s) described herein may be embodied indifferent formats. Additionally, exemplary systems, architectures, andpipelines are detailed below. Embodiments of the instruction(s) may beexecuted on such systems, architectures, and pipelines, but are notlimited to those detailed.

Generic Vector Friendly Instruction Format

A vector friendly instruction format is an instruction format that issuited for vector instructions (e.g., there are certain fields specificto vector operations). While embodiments are described in which bothvector and scalar operations are supported through the vector friendlyinstruction format, alternative embodiments use only vector operationsthe vector friendly instruction format.

FIGS. 1A-1B are block diagrams illustrating a generic vector friendlyinstruction format and instruction templates thereof according toembodiments of the invention. FIG. 1A is a block diagram illustrating ageneric vector friendly instruction format and class A instructiontemplates thereof according to embodiments of the invention; while FIG.1B is a block diagram illustrating the generic vector friendlyinstruction format and class B instruction templates thereof accordingto embodiments of the invention. Specifically, a generic vector friendlyinstruction format 100 for which are defined class A and class Binstruction templates, both of which include no memory access 105instruction templates and memory access 120 instruction templates. Theterm generic in the context of the vector friendly instruction formatrefers to the instruction format not being tied to any specificinstruction set.

While embodiments of the invention will be described in which the vectorfriendly instruction format supports the following: a 64 byte vectoroperand length (or size) with 32 bit (4 byte) or 64 bit (8 byte) dataelement widths (or sizes) (and thus, a 64 byte vector consists of either16 doubleword-size elements or alternatively, 8 quadword-size elements);a 64 byte vector operand length (or size) with 16 bit (2 byte) or 8 bit(1 byte) data element widths (or sizes); a 32 byte vector operand length(or size) with 32 bit (4 byte), 64 bit (8 byte), 16 bit (2 byte), or 8bit (1 byte) data element widths (or sizes); and a 16 byte vectoroperand length (or size) with 32 bit (4 byte), 64 bit (8 byte), 16 bit(2 byte), or 8 bit (1 byte) data element widths (or sizes); alternativeembodiments may support more, less and/or different vector operand sizes(e.g., 256 byte vector operands) with more, less, or different dataelement widths (e.g., 128 bit (16 byte) data element widths).

The class A instruction templates in FIG. 1A include: 1) within the nomemory access 105 instruction templates there is shown a no memoryaccess, full round control type operation 110 instruction template and ano memory access, data transform type operation 115 instructiontemplate; and 2) within the memory access 120 instruction templatesthere is shown a memory access, temporal 125 instruction template and amemory access, non-temporal 130 instruction template. The class Binstruction templates in FIG. 1B include: 1) within the no memory access105 instruction templates there is shown a no memory access, write maskcontrol, partial round control type operation 112 instruction templateand a no memory access, write mask control, vsize type operation 117instruction template; and 2) within the memory access 120 instructiontemplates there is shown a memory access, write mask control 127instruction template.

The generic vector friendly instruction format 100 includes thefollowing fields listed below in the order illustrated in FIGS. 1A-1B.

Format field 140—a specific value (an instruction format identifiervalue) in this field uniquely identifies the vector friendly instructionformat, and thus occurrences of instructions in the vector friendlyinstruction format in instruction streams. As such, this field isoptional in the sense that it is not needed for an instruction set thathas only the generic vector friendly instruction format.

Base operation field 142—its content distinguishes different baseoperations.

Register index field 144—its content, directly or through addressgeneration, specifies the locations of the source and destinationoperands, be they in registers or in memory. These include a sufficientnumber of bits to select N registers from a PxQ (e.g. 32×512, 16×128,32×1024, 64×1024) register file. While in one embodiment N may be up tothree sources and one destination register, alternative embodiments maysupport more or less sources and destination registers (e.g., maysupport up to two sources where one of these sources also acts as thedestination, may support up to three sources where one of these sourcesalso acts as the destination, may support up to two sources and onedestination).

Modifier field 146—its content distinguishes occurrences of instructionsin the generic vector instruction format that specify memory access fromthose that do not; that is, between no memory access 105 instructiontemplates and memory access 120 instruction templates. Memory accessoperations read and/or write to the memory hierarchy (in some casesspecifying the source and/or destination addresses using values inregisters), while non-memory access operations do not (e.g., the sourceand destinations are registers). While in one embodiment this field alsoselects between three different ways to perform memory addresscalculations, alternative embodiments may support more, less, ordifferent ways to perform memory address calculations.

Augmentation operation field 150—its content distinguishes which one ofa variety of different operations to be performed in addition to thebase operation. This field is context specific. In one embodiment of theinvention, this field is divided into a class field 168, an alpha field152, and a beta field 154. The augmentation operation field 150 allowscommon groups of operations to be performed in a single instructionrather than 2, 3, or 4 instructions.

Scale field 160—its content allows for the scaling of the index field'scontent for memory address generation (e.g., for address generation thatuses 2^(scale)*index+base).

Displacement Field 162A—its content is used as part of memory addressgeneration (e.g., for address generation that uses2^(scale)*index+base+displacement).

Displacement Factor Field 162B (note that the juxtaposition ofdisplacement field 162A directly over displacement factor field 162Bindicates one or the other is used)—its content is used as part ofaddress generation; it specifies a displacement factor that is to bescaled by the size of a memory access (N)—where N is the number of bytesin the memory access (e.g., for address generation that uses2^(scale)*index+base+scaled displacement). Redundant low-order bits areignored and hence, the displacement factor field's content is multipliedby the memory operands total size (N) in order to generate the finaldisplacement to be used in calculating an effective address. The valueof N is determined by the processor hardware at runtime based on thefull opcode field 174 (described later herein) and the data manipulationfield 154C. The displacement field 162A and the displacement factorfield 162B are optional in the sense that they are not used for the nomemory access 105 instruction templates and/or different embodiments mayimplement only one or none of the two.

Data element width field 164—its content distinguishes which one of anumber of data element widths is to be used (in some embodiments for allinstructions; in other embodiments for only some of the instructions).This field is optional in the sense that it is not needed if only onedata element width is supported and/or data element widths are supportedusing some aspect of the opcodes.

Write mask field 170—its content controls, on a per data elementposition basis, whether that data element position in the destinationvector operand reflects the result of the base operation andaugmentation operation. Class A instruction templates supportmerging-writemasking, while class B instruction templates support bothmerging- and zeroing-writemasking. When merging, vector masks allow anyset of elements in the destination to be protected from updates duringthe execution of any operation (specified by the base operation and theaugmentation operation); in other one embodiment, preserving the oldvalue of each element of the destination where the corresponding maskbit has a 0. In contrast, when zeroing vector masks allow any set ofelements in the destination to be zeroed during the execution of anyoperation (specified by the base operation and the augmentationoperation); in one embodiment, an element of the destination is set to 0when the corresponding mask bit has a 0 value. A subset of thisfunctionality is the ability to control the vector length of theoperation being performed (that is, the span of elements being modified,from the first to the last one); however, it is not necessary that theelements that are modified be consecutive. Thus, the write mask field170 allows for partial vector operations, including loads, stores,arithmetic, logical, etc. While embodiments of the invention aredescribed in which the write mask field's 170 content selects one of anumber of write mask registers that contains the write mask to be used(and thus the write mask field's 170 content indirectly identifies thatmasking to be performed), alternative embodiments instead or additionalallow the mask write field's 170 content to directly specify the maskingto be performed.

Immediate field 172—its content allows for the specification of animmediate. This field is optional in the sense that is it not present inan implementation of the generic vector friendly format that does notsupport immediate and it is not present in instructions that do not usean immediate.

Class field 168—its content distinguishes between different classes ofinstructions. With reference to FIGS. 1A-B, the contents of this fieldselect between class A and class B instructions. In FIGS. 1A-B, roundedcorner squares are used to indicate a specific value is present in afield (e.g., class A 168A and class B 168B for the class field 168respectively in FIGS. 1A-B).

Instruction Templates of Class A

In the case of the non-memory access 105 instruction templates of classA, the alpha field 152 is interpreted as an RS field 152A, whose contentdistinguishes which one of the different augmentation operation typesare to be performed (e.g., round 152A.1 and data transform 152A.2 arerespectively specified for the no memory access, round type operation110 and the no memory access, data transform type operation 115instruction templates), while the beta field 154 distinguishes which ofthe operations of the specified type is to be performed. In the nomemory access 105 instruction templates, the scale field 160, thedisplacement field 162A, and the displacement scale filed 162B are notpresent.

No-Memory Access Instruction Templates—Full Round Control Type Operation

In the no memory access full round control type operation 110instruction template, the beta field 154 is interpreted as a roundcontrol field 154A, whose content(s) provide static rounding. While inthe described embodiments of the invention the round control field 154Aincludes a suppress all floating point exceptions (SAE) field 156 and around operation control field 158, alternative embodiments may supportmay encode both these concepts into the same field or only have one orthe other of these concepts/fields (e.g., may have only the roundoperation control field 158).

SAE field 156—its content distinguishes whether or not to disable theexception event reporting; when the SAE field's 156 content indicatessuppression is enabled, a given instruction does not report any kind offloating-point exception flag and does not raise any floating pointexception handler.

Round operation control field 158—its content distinguishes which one ofa group of rounding operations to perform (e.g., Round-up, Round-down,Round-towards-zero and Round-to-nearest). Thus, the round operationcontrol field 158 allows for the changing of the rounding mode on a perinstruction basis. In one embodiment of the invention where a processorincludes a control register for specifying rounding modes, the roundoperation control field's 150 content overrides that register value.

No Memory Access Instruction Templates—Data Transform Type Operation

In the no memory access data transform type operation 115 instructiontemplate, the beta field 154 is interpreted as a data transform field154B, whose content distinguishes which one of a number of datatransforms is to be performed (e.g., no data transform, swizzle,broadcast).

In the case of a memory access 120 instruction template of class A, thealpha field 152 is interpreted as an eviction hint field 152B, whosecontent distinguishes which one of the eviction hints is to be used (inFIG. 1A, temporal 152B.1 and non-temporal 152B.2 are respectivelyspecified for the memory access, temporal 125 instruction template andthe memory access, non-temporal 130 instruction template), while thebeta field 154 is interpreted as a data manipulation field 154C, whosecontent distinguishes which one of a number of data manipulationoperations (also known as primitives) is to be performed (e.g., nomanipulation; broadcast; up conversion of a source; and down conversionof a destination). The memory access 120 instruction templates includethe scale field 160, and optionally the displacement field 162A or thedisplacement scale field 162B.

Vector memory instructions perform vector loads from and vector storesto memory, with conversion support. As with regular vector instructions,vector memory instructions transfer data from/to memory in a dataelement-wise fashion, with the elements that are actually transferred isdictated by the contents of the vector mask that is selected as thewrite mask.

Memory Access Instruction Templates—Temporal

Temporal data is data likely to be reused soon enough to benefit fromcaching. This is, however, a hint, and different processors mayimplement it in different ways, including ignoring the hint entirely.

Memory Access Instruction Templates—Non-Temporal

Non-temporal data is data unlikely to be reused soon enough to benefitfrom caching in the 1st-level cache and should be given priority foreviction. This is, however, a hint, and different processors mayimplement it in different ways, including ignoring the hint entirely.

Instruction Templates of Class B

In the case of the instruction templates of class B, the alpha field 152is interpreted as a write mask control (Z) field 152C, whose contentdistinguishes whether the write masking controlled by the write maskfield 170 should be a merging or a zeroing.

In the case of the non-memory access 105 instruction templates of classB, part of the beta field 154 is interpreted as an RL field 157A, whosecontent distinguishes which one of the different augmentation operationtypes are to be performed (e.g., round 157A.1 and vector length (VSIZE)157A.2 are respectively specified for the no memory access, write maskcontrol, partial round control type operation 112 instruction templateand the no memory access, write mask control, VSIZE type operation 117instruction template), while the rest of the beta field 154distinguishes which of the operations of the specified type is to beperformed. In the no memory access 105 instruction templates, the scalefield 160, the displacement field 162A, and the displacement scale filed162B are not present.

In the no memory access, write mask control, partial round control typeoperation 110 instruction template, the rest of the beta field 154 isinterpreted as a round operation field 159A and exception eventreporting is disabled (a given instruction does not report any kind offloating-point exception flag and does not raise any floating pointexception handler).

Round operation control field 159A—just as round operation control field158, its content distinguishes which one of a group of roundingoperations to perform (e.g., Round-up, Round-down, Round-towards-zeroand Round-to-nearest). Thus, the round operation control field 159Aallows for the changing of the rounding mode on a per instruction basis.In one embodiment of the invention where a processor includes a controlregister for specifying rounding modes, the round operation controlfield's 150 content overrides that register value.

In the no memory access, write mask control, VSIZE type operation 117instruction template, the rest of the beta field 154 is interpreted as avector length field 159B, whose content distinguishes which one of anumber of data vector lengths is to be performed on (e.g., 128, 256, or512 byte).

In the case of a memory access 120 instruction template of class B, partof the beta field 154 is interpreted as a broadcast field 157B, whosecontent distinguishes whether or not the broadcast type datamanipulation operation is to be performed, while the rest of the betafield 154 is interpreted the vector length field 159B. The memory access120 instruction templates include the scale field 160, and optionallythe displacement field 162A or the displacement scale field 162B.

With regard to the generic vector friendly instruction format 100, afull opcode field 174 is shown including the format field 140, the baseoperation field 142, and the data element width field 164. While oneembodiment is shown where the full opcode field 174 includes all ofthese fields, the full opcode field 174 includes less than all of thesefields in embodiments that do not support all of them. The full opcodefield 174 provides the operation code (opcode).

The augmentation operation field 150, the data element width field 164,and the write mask field 170 allow these features to be specified on aper instruction basis in the generic vector friendly instruction format.

The combination of write mask field and data element width field createtyped instructions in that they allow the mask to be applied based ondifferent data element widths.

The various instruction templates found within class A and class B arebeneficial in different situations. In some embodiments of theinvention, different processors or different cores within a processormay support only class A, only class B, or both classes. For instance, ahigh performance general purpose out-of-order core intended forgeneral-purpose computing may support only class B, a core intendedprimarily for graphics and/or scientific (throughput) computing maysupport only class A, and a core intended for both may support both (ofcourse, a core that has some mix of templates and instructions from bothclasses but not all templates and instructions from both classes iswithin the purview of the invention). Also, a single processor mayinclude multiple cores, all of which support the same class or in whichdifferent cores support different class. For instance, in a processorwith separate graphics and general purpose cores, one of the graphicscores intended primarily for graphics and/or scientific computing maysupport only class A, while one or more of the general purpose cores maybe high performance general purpose cores with out of order executionand register renaming intended for general-purpose computing thatsupport only class B. Another processor that does not have a separategraphics core, may include one more general purpose in-order orout-of-order cores that support both class A and class B. Of course,features from one class may also be implement in the other class indifferent embodiments of the invention. Programs written in a high levellanguage would be put (e.g., just in time compiled or staticallycompiled) into an variety of different executable forms, including: 1) aform having only instructions of the class(es) supported by the targetprocessor for execution; or 2) a form having alternative routineswritten using different combinations of the instructions of all classesand having control flow code that selects the routines to execute basedon the instructions supported by the processor which is currentlyexecuting the code.

VEX Instruction Format

VEX encoding allows instructions to have more than two operands, andallows SIMD vector registers to be longer than 28 bits. The use of a VEXprefix provides for three-operand (or more) syntax. For example,previous two-operand instructions performed operations such as A=A+B,which overwrites a source operand. The use of a VEX prefix enablesoperands to perform nondestructive operations such as A=B+C.

FIG. 2A illustrates an exemplary AVX instruction format including a VEXprefix 202, real opcode field 230, Mod R/M byte 240, SIB byte 250,displacement field 262, and IMM8 272. FIG. 2B illustrates which fieldsfrom FIG. 2A make up a full opcode field 274 and a base operation field241. FIG. 2C illustrates which fields from FIG. 2A make up a registerindex field 244.

VEX Prefix (Bytes 0-2) 202 is encoded in a three-byte form. The firstbyte is the Format Field 290 (VEX Byte 0, bits[7:0]), which contains anexplicit C4 byte value (the unique value used for distinguishing the C4instruction format). The second-third bytes (VEX Bytes 1-2) include anumber of bit fields providing specific capability. Specifically, REXfield 205 (VEX Byte 1, bits[7-5]) consists of a VEX.R bit field (VEXByte 1, bit[7]-R), VEX.X bit field (VEX byte 1, bit[6]-X), and VEX.B bitfield (VEX byte 1, bit[5]-B). Other fields of the instructions encodethe lower three bits of the register indexes as is known in the art(rrr, xxx, and bbb), so that Rrrr, Xxxx, and Bbbb may be formed byadding VEX.R, VEX.X, and VEX.B. Opcode map field 215 (VEX byte 1,bits[4:0]-mmmmm) includes content to encode an implied leading opcodebyte. W Field 264 (VEX byte 2, bit[7]-W)—is represented by the notationVEX.W, and provides different functions depending on the instruction.The role of VEX.vvvv 220 (VEX Byte 2, bits[6:3]-vvvv) may include thefollowing: 1) VEX.vvvv encodes the first source register operand,specified in inverted (1s complement) form and is valid for instructionswith 2 or more source operands; 2) VEX.vvvv encodes the destinationregister operand, specified in is complement form for certain vectorshifts; or 3) VEX.vvvv does not encode any operand, the field isreserved and should contain 1111b. If VEX.L 268 Size field (VEX byte 2,bit[2]-L)=0, it indicates 28 bit vector; if VEX.L=1, it indicates 256bit vector. Prefix encoding field 225 (VEX byte 2, bits[1:0]-pp)provides additional bits for the base operation field 241.

Real Opcode Field 230 (Byte 3) is also known as the opcode byte. Part ofthe opcode is specified in this field.

MOD R/M Field 240 (Byte 4) includes MOD field 242 (bits[7-6]), Reg field244 (bits[5-3]), and R/M field 246 (bits[2-0]). The role of Reg field244 may include the following: encoding either the destination registeroperand or a source register operand (the rrr of Rrrr), or be treated asan opcode extension and not used to encode any instruction operand. Therole of R/M field 246 may include the following: encoding theinstruction operand that references a memory address, or encoding eitherthe destination register operand or a source register operand.

Scale, Index, Base (SIB)—The content of Scale field 250 (Byte 5)includes SS252 (bits[7-6]), which is used for memory address generation.The contents of SIB.xxx 254 (bits[5-3]) and SIB.bbb 256 (bits[2-0]) havebeen previously referred to with regard to the register indexes Xxxx andBbbb.

The Displacement Field 262 and the immediate field (IMM8) 272 containdata.

Exemplary Register Architecture

FIG. 3 is a block diagram of a register architecture 300 according toone embodiment of the invention. In the embodiment illustrated, thereare 32 vector registers 310 that are 512 bits wide; these registers arereferenced as zmm0 through zmm31. The lower order 256 bits of the lower6 zmm registers are overlaid on registers ymm0-15. The lower order 128bits of the lower 6 zmm registers (the lower order 128 bits of the ymmregisters) are overlaid on registers xmm0-15.

General-purpose registers 325—in the embodiment illustrated, there aresixteen 64-bit general-purpose registers that are used along with theexisting x86 addressing modes to address memory operands. Theseregisters are referenced by the names RAX, RBX, RCX, RDX, RBP, RSI, RDI,RSP, and R8 through R15.

Scalar floating point stack register file (x87 stack) 345, on which isaliased the MMX packed integer flat register file 350—in the embodimentillustrated, the x87 stack is an eight-element stack used to performscalar floating-point operations on 32/64/80-bit floating point datausing the x87 instruction set extension; while the MMX registers areused to perform operations on 64-bit packed integer data, as well as tohold operands for some operations performed between the MMX and XMMregisters.

Alternative embodiments of the invention may use wider or narrowerregisters. Additionally, alternative embodiments of the invention mayuse more, less, or different register files and registers.

Exemplary Core Architectures, Processors, and Computer Architectures

Processor cores may be implemented in different ways, for differentpurposes, and in different processors. For instance, implementations ofsuch cores may include: 1) a general purpose in-order core intended forgeneral-purpose computing; 2) a high performance general purposeout-of-order core intended for general-purpose computing; 3) a specialpurpose core intended primarily for graphics and/or scientific(throughput) computing. Implementations of different processors mayinclude: 1) a CPU including one or more general purpose in-order coresintended for general-purpose computing and/or one or more generalpurpose out-of-order cores intended for general-purpose computing; and2) a coprocessor including one or more special purpose cores intendedprimarily for graphics and/or scientific (throughput). Such differentprocessors lead to different computer system architectures, which mayinclude: 1) the coprocessor on a separate chip from the CPU; 2) thecoprocessor on a separate die in the same package as a CPU; 3) thecoprocessor on the same die as a CPU (in which case, such a coprocessoris sometimes referred to as special purpose logic, such as integratedgraphics and/or scientific (throughput) logic, or as special purposecores); and 4) a system on a chip that may include on the same die thedescribed CPU (sometimes referred to as the application core(s) orapplication processor(s)), the above described coprocessor, andadditional functionality. Exemplary core architectures are describednext, followed by descriptions of exemplary processors and computerarchitectures. Detailed herein are circuits (units) that compriseexemplary cores, processors, etc.

Exemplary Core Architectures

FIG. 4A is a block diagram illustrating both an exemplary in-orderpipeline and an exemplary register renaming, out-of-orderissue/execution pipeline according to embodiments of the invention. FIG.4B is a block diagram illustrating both an exemplary embodiment of anin-order architecture core and an exemplary register renaming,out-of-order issue/execution architecture core to be included in aprocessor according to embodiments of the invention. The solid linedboxes in FIGS. 4A-B illustrate the in-order pipeline and in-order core,while the optional addition of the dashed lined boxes illustrates theregister renaming, out-of-order issue/execution pipeline and core. Giventhat the in-order aspect is a subset of the out-of-order aspect, theout-of-order aspect will be described.

In FIG. 4A, a processor pipeline 400 includes a fetch stage 402, alength decode stage 404, a decode stage 406, an allocation stage 408, arenaming stage 410, a scheduling (also known as a dispatch or issue)stage 412, a register read/memory read stage 414, an execute stage 416,a write back/memory write stage 418, an exception handling stage 422,and a commit stage 424.

FIG. 4B shows processor core 490 including a front end unit 430 coupledto an execution engine unit 450, and both are coupled to a memory unit470. The core 490 may be a reduced instruction set computing (RISC)core, a complex instruction set computing (CISC) core, a very longinstruction word (VLIW) core, or a hybrid or alternative core type. Asyet another option, the core 490 may be a special-purpose core, such as,for example, a network or communication core, compression engine,coprocessor core, general purpose computing graphics processing unit(GPGPU) core, graphics core, or the like.

The front end unit 430 includes a branch prediction unit 432 coupled toan instruction cache unit 434, which is coupled to an instructiontranslation lookaside buffer (TLB) 436, which is coupled to aninstruction fetch unit 438, which is coupled to a decode unit 440. Thedecode unit 440 (or decoder) may decode instructions, and generate as anoutput one or more microoperations, micro-code entry points,microinstructions, other instructions, or other control signals, whichare decoded from, or which otherwise reflect, or are derived from, theoriginal instructions. The decode unit 440 may be implemented usingvarious different mechanisms. Examples of suitable mechanisms include,but are not limited to, look-up tables, hardware implementations,programmable logic arrays (PLAs), microcode read only memories (ROMs),etc. In one embodiment, the core 490 includes a microcode ROM or othermedium that stores microcode for certain macroinstructions (e.g., indecode unit 440 or otherwise within the front end unit 430). The decodeunit 440 is coupled to a rename/allocator unit 452 in the executionengine unit 450.

The execution engine unit 450 includes the rename/allocator unit 452coupled to a retirement unit 454 and a set of one or more schedulerunit(s) 456. The scheduler unit(s) 456 represents any number ofdifferent schedulers, including reservations stations, centralinstruction window, etc. The scheduler unit(s) 456 is coupled to thephysical register file(s) unit(s) 458. Each of the physical registerfile(s) units 458 represents one or more physical register files,different ones of which store one or more different data types, such asscalar integer, scalar floating point, packed integer, packed floatingpoint, vector integer, vector floating point, status (e.g., aninstruction pointer that is the address of the next instruction to beexecuted), etc. In one embodiment, the physical register file(s) unit458 comprises a vector registers unit and a scalar registers unit. Theseregister units may provide architectural vector registers, vector maskregisters, and general purpose registers. The physical register file(s)unit(s) 458 is overlapped by the retirement unit 454 to illustratevarious ways in which register renaming and out-of-order execution maybe implemented (e.g., using a reorder buffer(s) and a retirementregister file(s); using a future file(s), a history buffer(s), and aretirement register file(s); using a register maps and a pool ofregisters; etc.). The retirement unit 454 and the physical registerfile(s) unit(s) 458 are coupled to the execution cluster(s) 460. Theexecution cluster(s) 460 includes a set of one or more execution units462 and a set of one or more memory access units 464. The executionunits 462 may perform various operations (e.g., shifts, addition,subtraction, multiplication) and on various types of data (e.g., scalarfloating point, packed integer, packed floating point, vector integer,vector floating point). While some embodiments may include a number ofexecution units dedicated to specific functions or sets of functions,other embodiments may include only one execution unit or multipleexecution units that all perform all functions. The scheduler unit(s)456, physical register file(s) unit(s) 458, and execution cluster(s) 460are shown as being possibly plural because certain embodiments createseparate pipelines for certain types of data/operations (e.g., a scalarinteger pipeline, a scalar floating point/packed integer/packed floatingpoint/vector integer/vector floating point pipeline, and/or a memoryaccess pipeline that each have their own scheduler unit, physicalregister file(s) unit, and/or execution cluster—and in the case of aseparate memory access pipeline, certain embodiments are implemented inwhich only the execution cluster of this pipeline has the memory accessunit(s) 464). It should also be understood that where separate pipelinesare used, one or more of these pipelines may be out-of-orderissue/execution and the rest in-order.

The set of memory access units 464 is coupled to the memory unit 470,which includes a data TLB unit 472 coupled to a data cache unit 474coupled to a level 2 (L2) cache unit 476. In one exemplary embodiment,the memory access units 464 may include a load unit, a store addressunit, and a store data unit, each of which is coupled to the data TLBunit 472 in the memory unit 470. The instruction cache unit 434 isfurther coupled to a level 2 (L2) cache unit 476 in the memory unit 470.The L2 cache unit 476 is coupled to one or more other levels of cacheand eventually to a main memory.

By way of example, the exemplary register renaming, out-of-orderissue/execution core architecture may implement the pipeline 400 asfollows: 1) the instruction fetch 438 performs the fetch and lengthdecoding stages 402 and 404; 2) the decode unit 440 performs the decodestage 406; 3) the rename/allocator unit 452 performs the allocationstage 408 and renaming stage 410; 4) the scheduler unit(s) 456 performsthe schedule stage 412; 5) the physical register file(s) unit(s) 458 andthe memory unit 470 perform the register read/memory read stage 414; theexecution cluster 460 perform the execute stage 416; 6) the memory unit470 and the physical register file(s) unit(s) 458 perform the writeback/memory write stage 418; 7) various units may be involved in theexception handling stage 422; and 8) the retirement unit 454 and thephysical register file(s) unit(s) 458 perform the commit stage 424.

The core 490 may support one or more instructions sets (e.g., the x86instruction set (with some extensions that have been added with newerversions); the MIPS instruction set of MIPS Technologies of Sunnyvale,Calif.; the ARM instruction set (with optional additional extensionssuch as NEON) of ARM Holdings of Sunnyvale, Calif.), including theinstruction(s) described herein. In one embodiment, the core 490includes logic to support a packed data instruction set extension (e.g.,AVX1, AVX2), thereby allowing the operations used by many multimediaapplications to be performed using packed data.

It should be understood that the core may support multithreading(executing two or more parallel sets of operations or threads), and maydo so in a variety of ways including time sliced multithreading,simultaneous multithreading (where a single physical core provides alogical core for each of the threads that physical core issimultaneously multithreading), or a combination thereof (e.g., timesliced fetching and decoding and simultaneous multithreading thereaftersuch as in the Intel® Hyperthreading technology).

While register renaming is described in the context of out-of-orderexecution, it should be understood that register renaming may be used inan in-order architecture. While the illustrated embodiment of theprocessor also includes separate instruction and data cache units434/474 and a shared L2 cache unit 476, alternative embodiments may havea single internal cache for both instructions and data, such as, forexample, a Level 1 (L1) internal cache, or multiple levels of internalcache. In some embodiments, the system may include a combination of aninternal cache and an external cache that is external to the core and/orthe processor. Alternatively, all of the cache may be external to thecore and/or the processor.

Specific Exemplary In-Order Core Architecture

FIGS. 5A-B illustrate a block diagram of a more specific exemplaryin-order core architecture, which core would be one of several logicblocks (including other cores of the same type and/or different types)in a chip. The logic blocks communicate through a high-bandwidthinterconnect network (e.g., a ring network) with some fixed functionlogic, memory I/O interfaces, and other necessary I/O logic, dependingon the application.

FIG. 5A is a block diagram of a single processor core, along with itsconnection to the on-die interconnect network 502 and with its localsubset of the Level 2 (L2) cache 504, according to embodiments of theinvention. In one embodiment, an instruction decoder 500 supports thex86 instruction set with a packed data instruction set extension. An L1cache 506 allows low-latency accesses to cache memory into the scalarand vector units. While in one embodiment (to simplify the design), ascalar unit 508 and a vector unit 510 use separate register sets(respectively, scalar registers 512 and vector registers 514) and datatransferred between them is written to memory and then read back in froma level 1 (L1) cache 506, alternative embodiments of the invention mayuse a different approach (e.g., use a single register set or include acommunication path that allow data to be transferred between the tworegister files without being written and read back).

The local subset of the L2 cache 504 is part of a global L2 cache thatis divided into separate local subsets, one per processor core. Eachprocessor core has a direct access path to its own local subset of theL2 cache 504. Data read by a processor core is stored in its L2 cachesubset 504 and can be accessed quickly, in parallel with other processorcores accessing their own local L2 cache subsets. Data written by aprocessor core is stored in its own L2 cache subset 504 and is flushedfrom other subsets, if necessary. The ring network ensures coherency forshared data. The ring network is bi-directional to allow agents such asprocessor cores, L2 caches and other logic blocks to communicate witheach other within the chip. Each ring data-path is 1024-bits wide perdirection in some embodiments.

FIG. 5B is an expanded view of part of the processor core in FIG. 5Aaccording to embodiments of the invention. FIG. 5B includes an L1 datacache 506A part of the L1 cache 504, as well as more detail regardingthe vector unit 510 and the vector registers 514. Specifically, thevector unit 510 is a 6-wide vector processing unit (VPU) (see the16-wide ALU 528), which executes one or more of integer,single-precision float, and double-precision float instructions. The VPUsupports swizzling the register inputs with swizzle unit 520, numericconversion with numeric convert units 522A-B, and replication withreplication unit 524 on the memory input.

Processor with integrated memory controller and graphics

FIG. 6 is a block diagram of a processor 600 that may have more than onecore, may have an integrated memory controller, and may have integratedgraphics according to embodiments of the invention. The solid linedboxes in FIG. 6 illustrate a processor 600 with a single core 602A, asystem agent 610, a set of one or more bus controller units 616, whilethe optional addition of the dashed lined boxes illustrates analternative processor 600 with multiple cores 602A-N, a set of one ormore integrated memory controller unit(s) 614 in the system agent unit610, and special purpose logic 608.

Thus, different implementations of the processor 600 may include: 1) aCPU with the special purpose logic 608 being integrated graphics and/orscientific (throughput) logic (which may include one or more cores), andthe cores 602A-N being one or more general purpose cores (e.g., generalpurpose in-order cores, general purpose out-of-order cores, acombination of the two); 2) a coprocessor with the cores 602A-N being alarge number of special purpose cores intended primarily for graphicsand/or scientific (throughput); and 3) a coprocessor with the cores602A-N being a large number of general purpose in-order cores. Thus, theprocessor 600 may be a general-purpose processor, coprocessor orspecial-purpose processor, such as, for example, a network orcommunication processor, compression engine, graphics processor, GPGPU(general purpose graphics processing unit), a high-throughput manyintegrated core (MIC) coprocessor (including 30 or more cores), embeddedprocessor, or the like. The processor may be implemented on one or morechips. The processor 600 may be a part of and/or may be implemented onone or more substrates using any of a number of process technologies,such as, for example, BiCMOS, CMOS, or NMOS.

The memory hierarchy includes one or more levels of cache within thecores 604A-N, a set or one or more shared cache units 606, and externalmemory (not shown) coupled to the set of integrated memory controllerunits 614. The set of shared cache units 606 may include one or moremid-level caches, such as level 2 (L2), level 3 (L3), level 4 (L4), orother levels of cache, a last level cache (LLC), and/or combinationsthereof. While in one embodiment a ring based interconnect unit 612interconnects the integrated graphics logic 608, the set of shared cacheunits 606, and the system agent unit 610/integrated memory controllerunit(s) 614, alternative embodiments may use any number of well-knowntechniques for interconnecting such units. In one embodiment, coherencyis maintained between one or more cache units 606 and cores 602-A-N.

In some embodiments, one or more of the cores 602A-N are capable ofmultithreading. The system agent 610 includes those componentscoordinating and operating cores 602A-N. The system agent unit 610 mayinclude for example a power control unit (PCU) and a display unit. ThePCU may be or include logic and components needed for regulating thepower state of the cores 602A-N and the integrated graphics logic 608.The display unit is for driving one or more externally connecteddisplays.

The cores 602A-N may be homogenous or heterogeneous in terms ofarchitecture instruction set; that is, two or more of the cores 602A-Nmay be capable of execution the same instruction set, while others maybe capable of executing only a subset of that instruction set or adifferent instruction set.

Exemplary Computer Architectures

FIGS. 7-10 are block diagrams of exemplary computer architectures. Othersystem designs and configurations known in the arts for laptops,desktops, handheld PCs, personal digital assistants, engineeringworkstations, servers, network devices, network hubs, switches, embeddedprocessors, digital signal processors (DSPs), graphics devices, videogame devices, set-top boxes, micro controllers, cell phones, portablemedia players, hand held devices, and various other electronic devices,are also suitable. In general, a huge variety of systems or electronicdevices capable of incorporating a processor and/or other executionlogic as disclosed herein are generally suitable.

Referring now to FIG. 7 , shown is a block diagram of a system 700 inaccordance with one embodiment of the present invention. The system 700may include one or more processors 710, 715, which are coupled to acontroller hub 720. In one embodiment, the controller hub 720 includes agraphics memory controller hub (GMCH) 790 and an Input/Output Hub (IOH)750 (which may be on separate chips); the GMCH 790 includes memory andgraphics controllers to which are coupled memory 740 and a coprocessor745; the IOH 750 is couples input/output (I/O) devices 760 to the GMCH790. Alternatively, one or both of the memory and graphics controllersare integrated within the processor (as described herein), the memory740 and the coprocessor 745 are coupled directly to the processor 710,and the controller hub 720 in a single chip with the IOH 750.

The optional nature of additional processors 715 is denoted in FIG. 7with broken lines. Each processor 710, 715 may include one or more ofthe processing cores described herein and may be some version of theprocessor 600.

The memory 740 may be, for example, dynamic random access memory (DRAM),phase change memory (PCM), or a combination of the two. For at least oneembodiment, the controller hub 720 communicates with the processor(s)710, 715 via a multi-drop bus, such as a frontside bus (FSB),point-to-point interface, or similar connection 795.

In one embodiment, the coprocessor 745 is a special-purpose processor,such as, for example, a high-throughput MIC processor, a network orcommunication processor, compression engine, graphics processor, GPGPU,embedded processor, or the like. In one embodiment, controller hub 720may include an integrated graphics accelerator.

There can be a variety of differences between the physical resources710, 7155 in terms of a spectrum of metrics of merit includingarchitectural, microarchitectural, thermal, power consumptioncharacteristics, and the like.

In one embodiment, the processor 710 executes instructions that controldata processing operations of a general type. Embedded within theinstructions may be coprocessor instructions. The processor 710recognizes these coprocessor instructions as being of a type that shouldbe executed by the attached coprocessor 745. Accordingly, the processor710 issues these coprocessor instructions (or control signalsrepresenting coprocessor instructions) on a coprocessor bus or otherinterconnect, to coprocessor 745. Coprocessor(s) 745 accept and executethe received coprocessor instructions.

Referring now to FIG. 8 , shown is a block diagram of a first morespecific exemplary system 800 in accordance with an embodiment of thepresent invention. As shown in FIG. 8 , multiprocessor system 800 is apoint-to-point interconnect system, and includes a first processor 870and a second processor 880 coupled via a point-to-point interconnect850. Each of processors 870 and 880 may be some version of the processor600. In one embodiment of the invention, processors 870 and 880 arerespectively processors 710 and 715, while coprocessor 838 iscoprocessor 745. In another embodiment, processors 870 and 880 arerespectively processor 710 coprocessor 745.

Processors 870 and 880 are shown including integrated memory controller(IMC) units 872 and 882, respectively. Processor 870 also includes aspart of its bus controller units point-to-point (P-P) interfaces 876 and878; similarly, second processor 880 includes P-P interfaces 886 and888. Processors 870, 880 may exchange information via a point-to-point(P-P) interface 850 using P-P interface circuits 878, 888. As shown inFIG. 8 , IMCs 872 and 882 couple the processors to respective memories,namely a memory 832 and a memory 834, which may be portions of mainmemory locally attached to the respective processors.

Processors 870, 880 may each exchange information with a chipset 890 viaindividual P-P interfaces 852, 854 using point to point interfacecircuits 876, 894, 886, 898. Chipset 890 may optionally exchangeinformation with the coprocessor 838 via a high-performance interface892. In one embodiment, the coprocessor 838 is a special-purposeprocessor, such as, for example, a high-throughput MIC processor, anetwork or communication processor, compression engine, graphicsprocessor, GPGPU, embedded processor, or the like.

A shared cache (not shown) may be included in either processor oroutside of both processors, yet connected with the processors via P-Pinterconnect, such that either or both processors' local cacheinformation may be stored in the shared cache if a processor is placedinto a low power mode.

Chipset 890 may be coupled to a first bus 816 via an interface 896. Inone embodiment, first bus 816 may be a Peripheral Component Interconnect(PCI) bus, or a bus such as a PCI Express bus or another I/Ointerconnect bus, although the scope of the present invention is not solimited.

As shown in FIG. 8 , various I/O devices 814 may be coupled to first bus816, along with a bus bridge 818 which couples first bus 816 to a secondbus 820. In one embodiment, one or more additional processor(s) 815,such as coprocessors, high-throughput MIC processors, GPGPU's,accelerators (such as, e.g., graphics accelerators or digital signalprocessing (DSP) units), field programmable gate arrays, or any otherprocessor, are coupled to first bus 816. In one embodiment, second bus820 may be a low pin count (LPC) bus. Various devices may be coupled toa second bus 820 including, for example, a keyboard and/or mouse 822,communication devices 827 and a storage unit 828 such as a disk drive orother mass storage device which may include instructions/code and data830, in one embodiment. Further, an audio I/O 824 may be coupled to thesecond bus 816. Note that other architectures are possible. For example,instead of the point-to-point architecture of FIG. 8 , a system mayimplement a multi-drop bus or other such architecture.

Referring now to FIG. 9 , shown is a block diagram of a second morespecific exemplary system 900 in accordance with an embodiment of thepresent invention. Like elements in FIGS. 8 and 9 bear like referencenumerals, and certain aspects of FIG. 8 have been omitted from FIG. 9 inorder to avoid obscuring other aspects of FIG. 9 .

FIG. 9 illustrates that the processors 870, 880 may include integratedmemory and I/O control logic (“CL”) 972 and 982, respectively. Thus, theCL 972, 982 include integrated memory controller units and include I/Ocontrol logic. FIG. 9 illustrates that not only are the memories 832,834 coupled to the CL 872, 882, but also that I/O devices 914 are alsocoupled to the control logic 872, 882. Legacy I/O devices 915 arecoupled to the chipset 890.

Referring now to FIG. 10 , shown is a block diagram of a SoC 1000 inaccordance with an embodiment of the present invention. Similar elementsin FIG. 6 bear like reference numerals. Also, dashed lined boxes areoptional features on more advanced SoCs. In FIG. 10 , an interconnectunit(s) 1002 is coupled to: an application processor 1010 which includesa set of one or more cores 102A-N, cache units 604A-N, and shared cacheunit(s) 606; a system agent unit 610; a bus controller unit(s) 616; anintegrated memory controller unit(s) 614; a set or one or morecoprocessors 1020 which may include integrated graphics logic, an imageprocessor, an audio processor, and a video processor; an static randomaccess memory (SRAM) unit 1030; a direct memory access (DMA) unit 1032;and a display unit 1040 for coupling to one or more external displays.In one embodiment, the coprocessor(s) 1020 include a special-purposeprocessor, such as, for example, a network or communication processor,compression engine, GPGPU, a high-throughput MIC processor, embeddedprocessor, or the like.

Embodiments of the mechanisms disclosed herein may be implemented inhardware, software, firmware, or a combination of such implementationapproaches. Embodiments of the invention may be implemented as computerprograms or program code executing on programmable systems comprising atleast one processor, a storage system (including volatile andnon-volatile memory and/or storage elements), at least one input device,and at least one output device.

Program code, such as code 830 illustrated in FIG. 8 , may be applied toinput instructions to perform the functions described herein andgenerate output information. The output information may be applied toone or more output devices, in known fashion. For purposes of thisapplication, a processing system includes any system that has aprocessor, such as, for example; a digital signal processor (DSP), amicrocontroller, an application specific integrated circuit (ASIC), or amicroprocessor.

The program code may be implemented in a high level procedural or objectoriented programming language to communicate with a processing system.The program code may also be implemented in assembly or machinelanguage, if desired. In fact, the mechanisms described herein are notlimited in scope to any particular programming language. In any case,the language may be a compiled or interpreted language.

One or more aspects of at least one embodiment may be implemented byrepresentative instructions stored on a machine-readable medium whichrepresents various logic within the processor, which when read by amachine causes the machine to fabricate logic to perform the techniquesdescribed herein. Such representations, known as “IP cores” may bestored on a tangible, machine readable medium and supplied to variouscustomers or manufacturing facilities to load into the fabricationmachines that actually make the logic or processor.

Such machine-readable storage media may include, without limitation,non-transitory, tangible arrangements of articles manufactured or formedby a machine or device, including storage media such as hard disks, anyother type of disk including floppy disks, optical disks, compact diskread-only memories (CD-ROMs), compact disk rewritable's (CD-RWs), andmagneto-optical disks, semiconductor devices such as read-only memories(ROMs), random access memories (RAMs) such as dynamic random accessmemories (DRAMs), static random access memories (SRAMs), erasableprogrammable read-only memories (EPROMs), flash memories, electricallyerasable programmable read-only memories (EEPROMs), phase change memory(PCM), magnetic or optical cards, or any other type of media suitablefor storing electronic instructions.

Accordingly, embodiments of the invention also include non-transitory,tangible machine-readable media containing instructions or containingdesign data, such as Hardware Description Language (HDL), which definesstructures, circuits, apparatuses, processors and/or system featuresdescribed herein. Such embodiments may also be referred to as programproducts.

Emulation (including binary translation, code morphing, etc.)

In some cases, an instruction converter may be used to convert aninstruction from a source instruction set to a target instruction set.For example, the instruction converter may translate (e.g., using staticbinary translation, dynamic binary translation including dynamiccompilation), morph, emulate, or otherwise convert an instruction to oneor more other instructions to be processed by the core. The instructionconverter may be implemented in software, hardware, firmware, or acombination thereof. The instruction converter may be on processor, offprocessor, or part on and part off processor.

FIG. 11 is a block diagram contrasting the use of a software instructionconverter to convert binary instructions in a source instruction set tobinary instructions in a target instruction set according to embodimentsof the invention. In the illustrated embodiment, the instructionconverter is a software instruction converter, although alternativelythe instruction converter may be implemented in software, firmware,hardware, or various combinations thereof. FIG. 11 shows a program in ahigh level language 1102 may be compiled using an first compiler 1104 togenerate a first binary code (e.g., x86) 1106 that may be nativelyexecuted by a processor with at least one first instruction set core1116. In some embodiments, the processor with at least one firstinstruction set core 1116 represents any processor that can performsubstantially the same functions as an Intel processor with at least onex86 instruction set core by compatibly executing or otherwise processing(1) a substantial portion of the instruction set of the Intel x86instruction set core or (2) object code versions of applications orother software targeted to run on an Intel processor with at least onex86 instruction set core, in order to achieve substantially the sameresult as an Intel processor with at least one x86 instruction set core.The first compiler 1104 represents a compiler that is operable togenerate binary code of the first instruction set 1106 (e.g., objectcode) that can, with or without additional linkage processing, beexecuted on the processor with at least one first instruction set core1116. Similarly, FIG. 11 shows the program in the high level language1102 may be compiled using an alternative instruction set compiler 1108to generate alternative instruction set binary code 1110 that may benatively executed by a processor without at least one first instructionset core 1114 (e.g., a processor with cores that execute the MIPSinstruction set of MIPS Technologies of Sunnyvale, Calif. and/or thatexecute the ARM instruction set of ARM Holdings of Sunnyvale, Calif.).The instruction converter 1112 is used to convert the first binary code1106 into code that may be natively executed by the processor without anfirst instruction set core 1114. This converted code is not likely to bethe same as the alternative instruction set binary code 1110 because aninstruction converter capable of this is difficult to make; however, theconverted code will accomplish the general operation and be made up ofinstructions from the alternative instruction set. Thus, the instructionconverter 1112 represents software, firmware, hardware, or a combinationthereof that, through emulation, simulation or any other process, allowsa processor or other electronic device that does not have a firstinstruction set processor or core to execute the first binary code 1106.

Apparatus and Method for Digital Signal Processing Instructions

Digital signal processing (DSP) instructions are described below. In oneembodiment, the circuitry and logic to perform the DSP operations isintegrated within the execution engine unit 450 shown in FIG. 4B, withinthe various cores described above (see, e.g., cores 602A-N in FIGS. 6and 10 ), and/or within the vector unit 510 shown in FIG. 5A. Forexample, the various source and destination registers may be SIMDregisters within the physical register file unit(s) 458 in FIG. 4Band/or vector registers 310 in FIG. 3 . The multiplication circuits,adder circuits, accumulation circuits, and other circuitry describedbelow may be integrated within the execution components of thearchitectures described above including, by way of example and notlimitation, the execution unit(s) 462 in FIG. 4B. It should be noted,however, that the underlying principles of the invention are not limitedto these specific architectures.

One embodiment of the invention includes circuitry and/or logic forprocessing digital signal processing (DSP) instructions. In particular,one embodiment comprises a multiply-accumulate (MAC) architecture witheight 16×16-bit multipliers and two 64-bit accumulators. The instructionset architecture (ISA) described below can process various multiply andMAC operations on 128-bit packed (8-bit, 16-bit or 32-bit data elements)integer, fixed point and complex data types. In addition, certaininstructions have direct support for highly efficient Fast FourierTransform (FFT) and Finite Impulse Response (FIR) filtering, andpost-processing of accumulated data by shift, round, and saturateoperations.

One embodiment of the new DSP instructions use a VEX.128 prefix basedopcode encoding and several of the SSE/SSE2/AVX instructions that handlepost-processing of data are used with the DSP ISA. The VEX-encoded128-bit DSP instructions with memory operands may have relaxed memoryalignment requirements.

In one embodiment, the instructions also support a variety of integerand fixed point data types including:

-   -   1) a Q31 data type for signals requiring analog to digital        conversion (ADC) and digital to analog conversion (DAC) with        greater than 16 bits;    -   2) a Q15 data type which is common in DSP algorithms;    -   3) a complex 16-bit data type; and    -   4) a complex 32-bit data type.

The instruction set architecture described herein targets a wide rangeof standard DSP (e.g., FFT, filtering, pattern matching, correlation,polynomial evaluation, etc) and statistical operations (e.g., mean,moving average, variance, etc.).

Target applications of the embodiments of the invention include sensor,audio, classification tasks for computer vision, and speech recognition.The DSP ISA described herein includes a wide range of instructions thatare applicable to deep neural networks (DNN), automatic speechrecognition (ASR), sensor fusion with Kalman filtering, other major DSPapplications, etc. Given the sequence of weights {w₁, w₂, . . . w_(k)}and the input sequence {x₁, x₂, x₃, . . . x_(n)} many image processing,machine learning tasks require to compute the result sequence {y₁, y₂,y₃, . . . y_(n+i−k)} defined by y_(i)=w₁x_(i)+w₂x_(i+1)+ . . .+w_(k)x_(i+k−1).

FIG. 12 illustrates an exemplary processor 1255 on which embodiments ofthe invention may be implemented which includes a plurality of cores 0-Nfor simultaneously executing a plurality of instruction threads. Theillustrated embodiment includes DSP instruction decode circuitry/logic1231 within the decoder 1230 and DSP instruction executioncircuitry/logic 1341 within the execution unit 1240. These pipelinecomponents may perform the operations described herein responsive to thedecoding and execution of the DSP instructions. While details of only asingle core (Core 0) are shown in FIG. 12 , it will be understood thateach of the other cores of processor 1255 may include similarcomponents.

Prior to describing specific details of the embodiments of theinvention, a description of the various components of the exemplaryprocessor 1255 are provided directly below. The plurality of cores 0-Nmay each include a memory management unit 1290 for performing memoryoperations (e.g., such as load/store operations), a set of generalpurpose registers (GPRs) 1205, a set of vector registers 1206, and a setof mask registers 1207. In one embodiment, multiple vector data elementsare packed into each vector register 1206 which may have a 512 bit widthfor storing two 256 bit values, four 128 bit values, eight 64 bitvalues, sixteen 32 bit values, etc. However, the underlying principlesof the invention are not limited to any particular size/type of vectordata. In one embodiment, the mask registers 1207 include eight 64-bitoperand mask registers used for performing bit masking operations on thevalues stored in the vector registers 1206 (e.g., implemented as maskregisters k0-k7 described herein). However, the underlying principles ofthe invention are not limited to any particular mask register size/type.

Each core 0-N may include a dedicated Level 1 (L1) cache 1212 and Level2 (L2) cache 1211 for caching instructions and data according to aspecified cache management policy. The L1 cache 1212 includes a separateinstruction cache 1220 for storing instructions and a separate datacache 1221 for storing data. The instructions and data stored within thevarious processor caches are managed at the granularity of cache lineswhich may be a fixed size (e.g., 64, 128, 512 Bytes in length). Eachcore of this exemplary embodiment has an instruction fetch unit 1210 forfetching instructions from main memory 1200 and/or a shared Level 3 (L3)cache 1216. The instruction fetch unit 1210 includes various well knowncomponents including a next instruction pointer 1203 for storing theaddress of the next instruction to be fetched from memory 1200 (or oneof the caches); an instruction translation look-aside buffer (ITLB) 1204for storing a map of recently used virtual-to-physical instructionaddresses to improve the speed of address translation; a branchprediction unit 1202 for speculatively predicting instruction branchaddresses; and branch target buffers (BTBs) 1201 for storing branchaddresses and target addresses.

As mentioned, a decode unit 1230 includes DSP instruction decodecircuitry/logic 1231 for decoding the DSP instructions described hereininto micro-operatons or “uops” and the execution unit 1240 includes DSPinstruction execution circuitry/logic 1241 for executing the DSPinstructions. A writeback/retirement unit 1250 retires the executedinstructions and writes back the results.

Embodiments for Performing Dual Signed and Unsigned Multiplications ofPacked Data Elements

One embodiment of the invention includes a first instruction forperforming a vector packed dual unsigned multiplication operation. Inparticular, execution of the first instruction multiplies a first packedunsigned doubleword (32-bits) selected from a packed quadword in a firstsource register and a second packed signed doubleword selected fromanother packed quadword in a second source register. In one embodiment,the 64 bit unsigned result is written into each of two quadwords (64bits) of the destination register, which may be a 128 bit register. Oneembodiment of the first instruction is represented as VPMULUDHHQ xmm0,xmm1, xmm2/m128, where xmm1 and xmm2 are the two source registers andxmm0 is the destination register.

One embodiment includes a second instruction for performing a vectorpacked dual signed multiplication operation. Execution of the secondinstruction multiplies a first packed signed doubleword (32-bits)selected from a packed quadword in a first source register and a secondpacked signed doubleword selected from a packed quadword in a secondsource register. In one implementation, the 64 bit signed result iswritten into each of two quadwords (64 bits) of the destinationregister, which may be a 128 bit register. One embodiment of the firstinstruction is represented as VPMULDHHQ xmm0, xmm1, xmm2/m128, wherexmm1 and xmm2 are the two source registers and xmm0 is the destinationregister.

FIG. 13 illustrates exemplary data element and bit distributions for anexemplary source register and/or destination register (SRCx/DESTx). Dataelements may be packed into the source register and/or destinationregister in words (16 bits), doublewords (32 bits), and/or quadwords (64bits) as illustrated. In some embodiments which process complex numbers,the real and imaginary components may be stored in adjacent data elementlocations. For example, a real component may be stored as data element Aand the corresponding imaginary component may be stored as data elementB. However, in other embodiments described herein, such as the 32×32packed doubleword multiplication instructions, the packed data elementsB-A, D-C, F-E, and H-G do not represent complex numbers.

FIG. 14A illustrates an exemplary architecture for executing the packedmultiplication instructions. As mentioned, these instructions may usetwo packed source data operands stored in registers SRC1 1401, and SRC21402 in FIG. 14A. In the illustrated embodiment, SRC1 1401 storesdoubleword data elements B-A and F-E and source register SRC2 1402stores doubleword data elements B-A and F-E.

Note that in some embodiments, certain components shown in FIG. 14A suchas the accumulators 1420-1421 and saturation circuits 1440-1441 are notneeded to perform the described operations. In such cases, it is assumedthat data is simply passed through these circuits without modification.

In one embodiment, multipliers 1405 concurrently perform multiplicationsof two doublewords. For example, first and second doublewords from theupper portion of each quadword in SRC1 (e.g., SRC1[63:32] andSRC1[127:96]) are multiplied by corresponding first and seconddoublewords from the upper portion of each quadword in SRC2 (e.g.,SRC2[63:32] and SRC2[127:96]). The 64 bit results of the multiplicationsare then stored in each quadword of the 128 bit destination. Forexample, the result of the multiplication SRC1[63:32]*SRC2[63:32] may bestored in DEST[63:0] while the result of the multiplicationSRC1[127:96]*SRC2[127:96] may be stored in DEST[127:64]. This may berepresented as:

-   -   DEST[63:0]←SRC1[63:32]*SRC2[63:32];    -   DEST[127:64]←SRC1[127:96]*SRC2[127:96];

As mentioned, one instruction (e.g., VPMULUDHHQ) may be executed toperform an unsigned multiplication in which the source valuesSRC1[63:32], SRC2[63:32], SRC1[127:96], and SRC2[127:96] and theresulting data elements DEST[63:0] and DEST[127:64], are unsigned. Inone embodiment, a second instruction is executed to perform a signedmultiplication in which the source values and resulting data elementsare signed (e.g., VPMULDHHQ).

In one embodiment, the shift operations described below may beimplemented on the quadword results stored in the destination register.For example, the results may be right-shifted or left-shifted and a mostsignificant portion of the shifted result may be stored to a leastsignificant portion of a destination register. In addition, saturationand/or routing may be performed to generate a final result.

A method in accordance with one embodiment of the invention isillustrated in FIG. 15 . The method may be implemented within thecontext of the processor and system architectures described above but isnot limited to any particular system architecture.

At 1501, a first instruction is fetched having fields for an opcode andfirst and second packed data source operands and a packed datadestination operand. At 1502 the first instruction is decoded togenerate a first decoded instruction (e.g., into a plurality ofmicrooperations). At 1503, two unsigned doubleword values associatedwith each of the first and second operands are retrieved and stored asdual packed doubleword data elements in each of the first and secondsource registers, respectively. As mentioned, in one embodiment, thesource operands are stored in 128-bit packed data registers with packeddoubleword (32-bit) data elements.

At 1504 the first decoded instruction is executed to multiply a firstunsigned doubleword data element from the first source register with asecond unsigned doubleword data element from a second source register togenerate a first unsigned quadword product and to concurrently multiplya third unsigned doubleword data element from the first source registerwith a fourth unsigned doubleword data element from the second sourceregister to generate a second unsigned quadword product.

At 1505, the shift operations described herein may be performed on thefirst and second quadword results. For example, the results may beright-shifted or left-shifted and a most significant portion of theshifted result may be stored to a least significant portion of adestination register. In addition, saturation and/or routing may beperformed to generate the final result.

A method in accordance with one embodiment of the invention isillustrated in FIG. 16 . The method may be implemented within thecontext of the processor and system architectures described above but isnot limited to any particular system architecture.

At 1601, a first instruction is fetched having fields for an opcode andfirst and second packed data source operands and a packed datadestination operand. At 1602 the first instruction is decoded togenerate a first decoded instruction (e.g., into a plurality ofmicrooperations). At 1603, two signed doubleword values associated witheach of the first and second operands are retrieved and stored as dualpacked doubleword data elements in each of the first and second sourceregisters, respectively. As mentioned, in one embodiment, the sourceoperands are stored in 128-bit packed data registers with packeddoubleword (32-bit) data elements.

At 1604 the first decoded instruction is executed to multiply a firstsigned doubleword data element from the first source register with asecond signed doubleword data element from a second source register togenerate a first signed quadword product and to concurrently multiply athird signed doubleword data element from the first source register witha fourth signed doubleword data element from the second source registerto generate a second signed quadword product.

At 1605, the shift operations described herein may be performed on thefirst and second quadword results. For example, the results may beright-shifted or left-shifted and a most significant portion of theshifted result may be stored to a least significant portion of adestination register. In addition, saturation and/or routing may beperformed to generate the final result.

Shifting Data Elements and Extracting Data

One embodiment of the invention includes instructions which performvarious right shift and left shift operations of bits in each of aplurality of unsigned aligned quadwords (e.g., such as the results ofthe above-described unsigned multiplications). For example, in oneembodiment, a quadword is shifted right in a first packed data registeror memory location (e.g., xmm2/m128), with a 6-bit count specified inimm8[5:0]. The most significant 16-bits[63:48] of each of the shiftedquadwords is written into the [15:0] bits of the corresponding quadwordin the destination register (e.g., xmm1). In one embodiment, a logicalright shift of the bits in each of the aligned unsigned quadwords isperformed in a first source register (e.g., xmm2), with a 6-bit countspecified in a second source register or memory location (e.g.,xmm3/m128[5:0], xmm3/m128[69:64]). The most significant 16-bits[63:48]of each of the shifted quadwords is written into bits[15:0] of thecorresponding quadword in the destination register (e.g., xmm1). In oneembodiment, 0's are shifted into the most significant bits during theright shift for each of the aligned unsigned quadwords.

The upper word result may be extracted from each of the right-shiftedquadwords with the arithmetic flags being unaffected. The shifted upper16-bits from each of the quadwords may be rounded based on roundingcontrol and saturated to a word. If saturation occurs, a saturation flagmay be set (e.g., in the MXCSR status register).

One embodiment also includes an instruction to perform a logical shiftleft of the bits in each unsigned quadword. For example, logical leftshift the bits in each of the aligned unsigned quadwords of a sourceregister or memory location (e.g., xmm1/m128), with 6-bit countspecified in imm8[5:0]. The most significant 16-bits [63:48] of each ofthe shifted quadwords, gets written into the [15:0] bits of thecorresponding quadword in the destination register (e.g., xmm1). Oneembodiment performs a logical left shift of the bits in each of thealigned unsigned quadwords of a first source register (e.g., xmm2), with6-bit count specified in a second source register or memory location(e.g., xmm3/m128[5:0], xmm3/m128[69:64]). The most significant 16-bits[63:48] of each of the shifted quadwords is written into bits the [15:0]of the corresponding quadword in the destination register (e.g., xmm1).

One embodiment shifts 0's into the least significant bits (LSBs) duringthe left shift for each of the aligned unsigned quadwords. Thisembodiment extracts the upper word result from each of the left shiftedquadwords without affecting the arithmetic flags. The shifted upper16-bits from each of the quadwords are rounded based on the roundingcontrol and saturated to doublewords. If saturation occurs, thesaturation flag may be set in a status/control register (e.g., the MXCSRstatus register).

The shift operations described herein may be performed in response tothe execution of a single instruction. These may include VPSRLRSDUQ andVPSRLVRSDUQ which perform logical shift right of packed quadwords by anamount based on an immediate and source operand, respectively. Inaddition, shift left instructions include VPSLLRSDUQ and VPSLLVRSDUQwhich perform logical shift left of packed quadwords by an amount basedon an immediate and source operand, respectively.

One embodiment of an architecture for right-shifting packed quadwords byan amount based on an immediate and writing the most significant 32 bitsof the resulting quadword to the lower 32 bits of the destination isillustrated in FIG. 17 . In particular, two quadwords are illustrated inSRC2 1401, identified as quadword 0 (stored at bits 63:0) and quadword 1(stored at bits 127:64). In response to a value included in theimmediate 1701 (e.g., imm8[5:0]), a shift unit 1703 shifts the values ineach quadword to the right by N bits, storing the results in a temporaryregister or memory location 1720. Given that 6 immediate bits are usedin this embodiment to identify a shift amount, N can have a range ofvalues between 0 and 64 (i.e., 2⁶=64). In the particular example shownin FIG. 17 , bits b64 and b63 are shown being shifted by a value of Nwhich is between 0 and 64. In one embodiment, the shift unit 1703inserts zeroes in the bit positions from which the values are shifted.Thus, the most significant bit positions occupied by b64, b63, and b62are filled with zeroes in the illustrated example.

In one embodiment, following the shift operation the 32 most significantbits of each shifted quadword are written to the least significant 32bits of the destination register 1460. In the illustrated example, bitsb64 and b63 are included in the most significant bits. It should benoted, however, that this will not always be the case. For example, ifthe value of N is 32 or greater, then bit b64 will be shifted out ofrange of the most significant 32 bits, which will be filled in with allzeroes. When this happens all zeroes are written to the leastsignificant bit positions in the destination register 1460.

As mentioned, in one embodiment, the 32 bit result may be extracted fromeach of the right-shifted quadwords without affecting the arithmeticflags in the processor. In addition, the shifted upper 32-bits from eachof the quadwords may be rounded based on rounding control and saturatedto a word, if necessary. If saturation occurs, a saturation flag 1710may be set (e.g., in the MXCSR status register). Rounding/saturationcircuitry 1704 may perform rounding and/or saturation operations on thevalue written to the least significant bit positions of each quadword.

In one embodiment, the shift unit 1703 is integrated within the addernetworks 1410-1411 in FIG. 14A and rounding/saturation circuitry 1704 isintegrated in the saturation circuitry 1440-1440. Alternatively, theshift unit 1703 and rounding circuitry may be implemented as separatecircuitry/logic from the architectural components shown in FIG. 14A.

FIG. 18 illustrates one embodiment in which the shift value (N),specifying the amount by which the shift unit 1703 is to right-shift thetwo quadwords, is specified in another source register, such as SRC31402. The 6 bit value may be stored in the least significant or mostsignificant positions of a packed data element such as a packed byte orpacked word, with the bits outside of the 6 bits being set to zero orignored. In one embodiment, the operation of the shift unit 1703 isotherwise substantially the same as described above with respect to FIG.17 .

One embodiment of an architecture for left-shifting packed quadwordsbased on an immediate value and writing the most significant 32 bits ofthe resulting quadword to the lower 32 bits of the destination isillustrated in FIG. 19 . In particular, two quadwords are illustrated inSRC1 1401, identified as quadword 0 (stored at bits 63:0) and quadword 1(stored at bits 127:64). In response to a value included in theimmediate 1701 (e.g., imm8[5:0]), a shift unit 1703 shifts the values ineach quadword to the left by N bits, storing the results in a temporaryregister or memory location 1720. Given that 6 immediate bits are usedin this embodiment to identify a shift amount, N can have a range ofvalues between 0 and 64 (i.e., 2 ⁶=64). In the particular example shownin FIG. 19 , bits b0, b1, and b2 are shown being shifted by a value of Nwhich is between 0 and 64. In one embodiment, the shift unit 1703inserts zeroes in the bit positions from which the quadword bit valuesare shifted. Thus, the least significant bit positions occupied by b0,b1, and b2 are filled with zeroes in the illustrated example.

In one embodiment, following the shift operation, the 32 mostsignificant bits of each shifted quadword are written to the leastsignificant 32 bits of the destination register 1460. In the illustratedexample, bits b2, b1, and b0 are included in the most significant bits.It should be noted, however, that this will not always be the case. Forexample, if the value of N is less than 32, then bit b0 will be in thelower 32 bits of the resulting quadword (i.e., it will not be includedin the most significant 32 bits). Similarly, if N is 64, then theshifted quadword is filled with all zeroes, which will be written to theleast significant bit positions in the destination register 1460.

As mentioned, in one embodiment, the 32 bit result may be extracted fromeach of the left-shifted quadwords without affecting the arithmeticflags in the processor. In addition, the shifted upper 32-bits from eachof the quadwords may be rounded based on rounding control and saturatedto a word, if necessary. If saturation occurs, a saturation flag 1710may be set (e.g., in the MXCSR status register). Rounding/saturationcircuitry 1704 may perform rounding and/or saturation operations on thevalue written to the least significant bit positions of each quadword.

FIG. 20 illustrates one embodiment in which the shift value (N),specifying the amount by which the shift unit 1703 is to right-shift thetwo quadwords, is specified in another source register, such as SRC21402. The 6 bit value may be stored in the least significant or mostsignificant positions of a packed data element such as a packed byte orpacked word, with the bits outside of the 6 bits being set to zero orignored. In one embodiment, the operation of the shift unit 1703 isotherwise substantially the same as described above with respect to FIG.17 .

Vector Packed Multiply Signed/Unsigned Byte With Accumulate

One embodiment of the invention includes a first instruction forperforming a vector packed unsigned byte multiplication operationfollowed by accumulation with existing doubleword values. In particular,execution of the first instruction multiplies 16 packed unsigned bytesfrom a first source register with 16 corresponding packed unsigned bytesfrom a second source register to generate 16 unsigned products. Foursets of the 16 unsigned products are accumulated to generate fourtemporary results. The four temporary results are then accumulated withunsigned doubleword values from a destination register and the result isstored back to the destination register. In one embodiment, the fourtemporary results are zero extended prior to performing theaccumulation. One embodiment of the first instruction is represented asVPDPBUUD xmm1, xmm2, xmm3/m128, where xmm1, xmm2, and xmm3 are sourceregisters and xmm3 is the destination register.

One embodiment of the invention includes a second instruction forperforming a vector packed signed byte multiplication operation followedby accumulation with existing doubleword values. In particular,execution of the first instruction multiplies 16 packed signed bytesfrom a first source register with 16 corresponding packed signed bytesfrom a second source register to generate 16 signed products. Four setsof the 16 signed products are accumulated to generate four temporaryresults. The four temporary results are then accumulated with signeddoubleword values from a destination register and the result is storedback to the destination register. In one embodiment, the four temporaryresults are zero extended prior to performing the accumulation. Oneembodiment of the first instruction is represented as VPDPBSSD xmm1,xmm2, xmm3/m128, where xmm1, xmm2, and xmm3 are source registers andxmm3 is also a destination register.

FIG. 14B illustrates many of the same components as FIG. 14A, with onedifference being that the outputs of the destination register 1460operate as the third source register for the accumulation operationsdescribed herein, as indicated by data lines 1470-1471. In oneembodiment, the multipliers 1405 concurrently perform the 16unsigned/signed byte multiplications by multiplying each byte in SRC11401 with a corresponding byte in SRC2 1402 to generate the 16unsigned/signed products. In one embodiment, adder networks 1410-1411then add four sets of four unsigned/signed products to generate fourtemporary results which may be stored in temporary registers or memorylocations. Each of the four temporary results are then zero extended andadded to a corresponding 32-bit data element from the destinationregister 1460 to generate final results. The final results are thenwritten back to the corresponding data element locations in thedestination register.

In one embodiment, the vector packed unsigned multiply and accumulate isrepresented as:

TEMP0[17:0]←((SRC2[31:24]*SRC3[31:24])+

(SRC2[23:16]*SRC3[23:16])+

(SRC2[15:8]*SRC3[15:8])+

(SRC2[7:0]*SRC3[7:0]));

TEMP1[17:0]←((SRC2[63:56]*SRC3[63:56])+

(SRC2[55:48]*SRC3[55:48])+

(SRC2[47:40]*SRC3[47:40])+

(SRC2[39:32]*SRC3[39:32]));

TEMP2[17:0]←((SRC2[95:88]*SRC3[95:88])+

(SRC2[87:80]*SRC3[87:80])+

(SRC2[79:72]*SRC3[79:72])+

(SRC2[71:64]*SRC3[71:64]));

TEMP3[17:0]←((SRC2[127:120]*SRC3[127:120])+

(SRC2[119:112]*SRC3[119:112])+

(SRC2[111:104]*SRC3[111:104])+

(SRC2[103:96]*SRC3[103:96]));

DEST[31:0]←AddToDword({14′b0,TEMP0[17:0]}, DEST[31:0]);

DEST[63:32]←AddToDword({14′b0,TEMP1[17:0]}, DEST[63:32]);

DEST[95:64]←AddToDword({14′b0,TEMP2[17:0]}, DEST[95:64]);

DEST[127:96]←AddToDword({14′b0,TEMP3[17:0]}, DEST[127:96]);

In the above code, the multipliers 1405 perform the abovemultiplications to generate the above products. Adder network 1410 addsthe products SRC2[31:24]*SRC3[31:24], SRC2[23:16]*SRC3[23:16],SRC2[15:8]*SRC3[15:8], and SRC2[7:0]*SRC3[7:0], storing the 17-bitresult in TEMP0 and also adds the products SRC2[63:56]*SRC3 [63:56],SRC2[55:48]*SRC3[55:48], SRC2[47:40]*SRC3[47:40], andSRC2[39:32]*SRC3[39:32], storing the 17-bit result in TEMP1.

Similarly, adder network 1411 adds the products SRC2[95:88]*SRC3[95:88],SRC2[87:80]*SRC3[87:80], SRC2[79:72]*SRC3[79:72],SRC2[71:64]*SRC3[71:64], storing the 17-bit result in TEMP2 and alsoadds SRC2[127:120]*SRC3[127:120], SRC2[119:112]*SRC3[119:112],SRC2[111:104]*SRC3[111:104], SRC2[103:96]*SRC3[103:96], storing the17-bit result in TEMP3.

The AddToDword operations then zero-extend each of the 17 bit results to32 bits and adds each resulting 32-bit value to one of the fourdoublewords stored in the destination register. The final results arethen stored back to the corresponding doubleword location in thedestination register.

In one embodiment, the vector packed signed multiply and accumulate isrepresented as:

TEMP0[17:0]←((SRC2[31:24]*SRC3[31:24])+

(SRC2[23:16]*SRC3[23:16])+

(SRC2[15:8]*SRC3[15:8])+

(SRC2[7:0]*SRC3[7:0]));

TEMP1[17:0]←((SRC2[63:56]*SRC3[63:56])+

(SRC2[55:48]*SRC3[55:48])+

(SRC2[47:40]*SRC3[47:40])+

(SRC2[39:32]*SRC3[39:32]));

TEMP2[17:0]←((SRC2[95:88]*SRC3[95:88])+

(SRC2[87:80]*SRC3[87:80])+

(SRC2[79:72]*SRC3[79:72])+

(SRC2[71:64]*SRC3[71:64]));

TEMP3[17:0]←((SRC2[127:120]*SRC3[127:120])+

(SRC2[119:112]*SRC3[119:112])+

(SRC2[111:104]*SRC3[111:104])+

(SRC2[103:96]*SRC3[103:96]));

DEST[31:0]←AddToDword({14{TEMP0[17]}, TEMP0[17:0]}, DEST[31:0]);

DEST[63:32]←AddToDword({14{TEMP1[17]}, TEMP1[17:0]}, DEST[63:32]);

DEST[95:64]←AddToDword({14{TEMP2[17]}, TEMP2[17:0]}, DEST[95:64]);

DEST[127:96]←AddToDword{14{TEMP3[17]}, TEMP3[17:0]}, DEST[127:96]);

In the above code, the multipliers 1405 perform the abovemultiplications to generate the above products. Adder network 1410 addsthe products SRC2[31:24]*SRC3[31:24], SRC2[23:16]*SRC3[23:16],SRC2[15:8]*SRC3[15:8], and SRC2[7:0]*SRC3[7:0], storing the 17-bitresult in TEMP0 and also adds the products SRC2[63:56]*SRC3 [63:56],SRC2[55:48]*SRC3[55:48], SRC2[47:40]*SRC3[47:40], andSRC2[39:32]*SRC3[39:32], storing the 17-bit result in TEMP1.

Similarly, adder network 1411 adds the products SRC2[95:88]*SRC3[95:88],SRC2[87:80]*SRC3[87:80], SRC2[79:72]*SRC3[79:72],SRC2[71:64]*SRC3[71:64], storing the 17-bit result in TEMP2 and alsoadds SRC2[127:120]*SRC3[127:120], SRC2[119:112]*SRC3[119:112],SRC2[111:104]*SRC3[111:104], SRC2[103:96]*SRC3[103:96], storing the17-bit result in TEMP3.

The AddToDword operations then sign-extend each of the 17 bit results to32 bits and adds each resulting 32-bit value to one of the fourdoublewords stored in the destination register. The final results arethen stored back to the corresponding doubleword location in thedestination register.

In one embodiment, the shift, rounding, and saturation operationsdescribed herein may be implemented on the doubleword results stored inthe destination register. For example, the results may be right-shiftedor left-shifted and a most significant portion of the shifted result maybe stored to a least significant portion of a destination register. Inaddition, saturation and/or routing may be performed to generate a finalresult.

A method in accordance with one embodiment of the invention isillustrated in FIG. 21 . The method may be implemented within thecontext of the processor and system architectures described above but isnot limited to any particular system architecture.

At 2101, a first instruction is fetched having fields for an opcode andfirst, second, and third packed data source operands and a packed datadestination operand. At 2102 the first instruction is decoded togenerate a first decoded instruction (e.g., into a plurality ofmicrooperations). At 2103, first and second sets of 16 unsigned bytesare retrieved for each of the first and second operands, respectively,and stored as packed unsigned byte data elements in each of the firstand second source registers, respectively.

At 2104 the first decoded instruction is executed to multiply each bytefrom the first source register with a corresponding byte in the secondsource register to generate 16 unsigned products. At 2105, four of theunsigned products are added in each of four groups to generate fourtemporary results.

At 2106, each of the four temporary results are zero-extended andaccumulated with one of the unsigned doubleword values stored in thethird source register which may be the same physical register as thedestination register. For example, each of the four temporary results,TEMP0, TEMP1, TEMP2, and TEMP3, may be extended to 32 bits and added tothe current values in DEST 1460 at doubleword data element locationsA-B, C-D, E-F, and G-H, respectively (see FIG. 14A). At 2107, the eachof the final unsigned results are stored in a packed doubleword dataelement location in the destination register DEST 1460.

Although not shown in FIG. 21 , shift operations described herein may beperformed on the final unsigned results. For example, the results may beright-shifted or left-shifted and a most significant portion of theshifted result may be stored to a least significant portion of adestination register. In addition, saturation and/or routing may beperformed to generate the final results.

A method in accordance with one embodiment of the invention isillustrated in FIG. 22 . The method may be implemented within thecontext of the processor and system architectures described above but isnot limited to any particular system architecture.

At 2201, a first instruction is fetched having fields for an opcode andfirst, second, and third packed data source operands and a packed datadestination operand. At 2202 the first instruction is decoded togenerate a first decoded instruction (e.g., into a plurality ofmicrooperations). At 2203, first and second sets of 16 signed bytes areretrieved for each of the first and second operands, respectively, andstored as packed signed byte data elements in each of the first andsecond source registers, respectively.

At 2204 the first decoded instruction is executed to multiply each bytefrom the first source register with a corresponding byte in the secondsource register to generate 16 signed products. At 2205, four of thesigned products are added in each of four groups to generate fourtemporary results.

At 2206, each of the four temporary results are sign-extended andaccumulated with one of the signed doubleword values stored in the thirdsource register which may be the same physical register as thedestination register. For example, each of the four temporary results,TEMP0, TEMP1, TEMP2, and TEMP3, may be extended to 32 bits and added tothe current values in DEST 1460 at doubleword data element locationsA-B, C-D, E-F, and G-H, respectively (see FIG. 14B). At 2207, the eachof the final signed results are stored in a packed doubleword dataelement location in the destination register DEST 1460.

Although not shown in FIG. 22 , shift operations described herein may beperformed on the final signed results. For example, the results may beright-shifted or left-shifted and a most significant portion of theshifted result may be stored to a least significant portion of adestination register. In addition, saturation and/or routing may beperformed to generate the final results.

In the foregoing specification, the embodiments of invention have beendescribed with reference to specific exemplary embodiments thereof. Itwill, however, be evident that various modifications and changes may bemade thereto without departing from the broader spirit and scope of theinvention as set forth in the appended claims. The specification anddrawings are, accordingly, to be regarded in an illustrative rather thana restrictive sense.

Embodiments of the invention may include various steps, which have beendescribed above. The steps may be embodied in machine-executableinstructions which may be used to cause a general-purpose orspecial-purpose processor to perform the steps. Alternatively, thesesteps may be performed by specific hardware components that containhardwired logic for performing the steps, or by any combination ofprogrammed computer components and custom hardware components.

As described herein, instructions may refer to specific configurationsof hardware such as application specific integrated circuits (ASICs)configured to perform certain operations or having a predeterminedfunctionality or software instructions stored in memory embodied in anon-transitory computer readable medium. Thus, the techniques shown inthe Figures can be implemented using code and data stored and executedon one or more electronic devices (e.g., an end station, a networkelement, etc.). Such electronic devices store and communicate(internally and/or with other electronic devices over a network) codeand data using computer machine-readable media, such as non-transitorycomputer machine-readable storage media (e.g., magnetic disks; opticaldisks; random access memory; read only memory; flash memory devices;phase-change memory) and transitory computer machine-readablecommunication media (e.g., electrical, optical, acoustical or other formof propagated signals—such as carrier waves, infrared signals, digitalsignals, etc.). In addition, such electronic devices typically include aset of one or more processors coupled to one or more other components,such as one or more storage devices (non-transitory machine-readablestorage media), user input/output devices (e.g., a keyboard, atouchscreen, and/or a display), and network connections. The coupling ofthe set of processors and other components is typically through one ormore busses and bridges (also termed as bus controllers). The storagedevice and signals carrying the network traffic respectively representone or more machine-readable storage media and machine-readablecommunication media. Thus, the storage device of a given electronicdevice typically stores code and/or data for execution on the set of oneor more processors of that electronic device. Of course, one or moreparts of an embodiment of the invention may be implemented usingdifferent combinations of software, firmware, and/or hardware.Throughout this detailed description, for the purposes of explanation,numerous specific details were set forth in order to provide a thoroughunderstanding of the present invention. It will be apparent, however, toone skilled in the art that the invention may be practiced without someof these specific details. In certain instances, well known structuresand functions were not described in elaborate detail in order to avoidobscuring the subject matter of the present invention. Accordingly, thescope and spirit of the invention should be judged in terms of theclaims which follow.

What is claimed is:
 1. A processor comprising: decode circuitry todecode a first instruction to generate a decoded instruction, the firstinstruction identifying a first plurality of packed quadwords and asecond plurality of packed quadwords; execution circuitry to execute thedecoded instruction to perform multiplication of an upper portion ofeach quadword of the first plurality with an upper portion of acorresponding quadword of the second plurality to generate a pluralityof quadword results; and destination register to store the plurality ofquadword results, wherein each quadword result is stored in acorresponding packed quadword data element of the destination register.2. The processor of claim 1, further comprising shift circuitry to shiftthe plurality of quadword results stored in the destination register bya shift amount.
 3. The processor of claim 2, wherein the shift amount isspecified by an immediate of the first instruction or is stored in ashift register.
 4. The processor of claim 2, wherein as a result of theshift, a most significant portion of each of the plurality of quadwordresults is moved to a least significant portion of the packed quadworddata element in which the quadword result is stored.
 5. The processor ofclaim 2, further comprising rounding circuitry to round the plurality ofshifted quadword results.
 6. The processor of claim 5, furthercomprising saturation circuitry to saturate the shifted quadword resultsif necessary and to set a saturation flag in a control register.
 7. Theprocessor of claim 1, wherein the upper portion of each quadwordcomprises an upper half of each quadword.
 8. The processor of claim 1,wherein each quadword comprises 64 bits.
 9. The processor of claim 1,wherein the multiplication is signed multiplication.
 10. The processorof claim 1, wherein the multiplication is unsigned multiplication.
 11. Amethod comprising: decoding a first instruction to generate a decodedinstruction, the first instruction identifying a first plurality ofpacked quadwords and a second plurality of packed quadwords; executingthe decoded instruction; performing multiplication of an upper portionof each quadword of the first plurality with an upper portion of acorresponding quadword of the second plurality to generate a pluralityof quadword results; and storing each of the plurality of quadwordresults in a corresponding packed quadword data element of a destinationregister.
 12. The method of claim 11, further comprising: shifting theplurality of quadword results stored in the destination register by ashift amount.
 13. The method of claim 12, wherein the shift amount isspecified by an immediate of the first instruction or is stored in ashift register.
 14. The method of claim 12, wherein as a result of theshifting, a most significant portion of each of the plurality ofquadword results is moved to a least significant portion of the packedquadword data element in which the quadword result is stored.
 15. Themethod of claim 12, further comprising: performing rounding of theplurality of shifted quadword results.
 16. The method of claim 15,further comprising: performing saturation on the shifted quadwordresults if necessary; and setting a saturation flag in a controlregister.
 17. The method of claim 11, wherein the upper portion of eachquadword comprises an upper half of each quadword.
 18. The method ofclaim 11, wherein each quadword comprises 64 bits.
 19. The method ofclaim 11, wherein the multiplication is signed multiplication.
 20. Themethod of claim 11, wherein the multiplication is unsignedmultiplication.
 21. A non-transitory machine-readable medium havingprogram code stored thereon which, when executed by a machine, causesthe machine to perform operations of: decoding a first instruction togenerate a decoded instruction, the first instruction identifying afirst plurality of packed quadwords and a second plurality of packedquadwords; executing the decoded instruction; performing multiplicationof an upper portion of each quadword of the first plurality with anupper portion of a corresponding quadword of the second plurality togenerate a plurality of quadword results; and storing each of theplurality of quadword results in a corresponding packed quadword dataelement of a destination register.
 22. The non-transitorymachine-readable medium of claim 21, wherein the operations furthercomprise: shifting the plurality of quadword results stored in thedestination register by a shift amount.
 23. The non-transitorymachine-readable medium of claim 22, wherein the shift amount isspecified by an immediate of the first instruction or is stored in ashift register.
 24. The non-transitory machine-readable medium of claim22, wherein as a result of the shifting, a most significant portion ofeach of the plurality of quadword results is moved to a leastsignificant portion of the packed quadword data element in which thequadword result is stored.
 25. The non-transitory machine-readablemedium of claim 22, wherein the operations further comprise: performingrounding of the plurality of shifted quadword results.